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Search: bedrock
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Showing 10 results from 1,292
mongodb-partners/ai-memory
GitHub Python Apache License 2.0An AI Memory Service that enhances AI agent with long-term memory capabilities, using MongoDB Atlas and AWS Bedrock to provide hierarchical memory structures with importance scoring, semantic search, and conversation summarization for personalized, contextually-aware interactions.
External source
GitHub
aws-solutions-library-samples/guidance-for-advertising-agents-on-aws
GitHub TypeScript MIT No AttributionThis guidance demonstrates how to deploy a comprehensive agentic application for advertising workflows using Amazon Bedrock AgentCore. The solution showcases advanced multi-agent collaboration across the entire advertising value chain - from strategic media planning and audience targeting to real... Read more
External source
GitHub
evereven-tech/horizons-omnichat
GitHub HCL MIT LicenseModular chatbot solution integrating Ollama, Open-WebUI, LiteLLM and AWS Bedrock, with on-premises, hybrid, AWS and Kubernetes deployment options
External source
GitHub
superyhee/claude-ui-copilot
GitHub JavaScriptA React and Vite-based tool with an Express backend that converts text, screenshots, and Figma designs into clean, functional code powered by LLMs. It employs a conversational approach for continuous page effect adjustments. Now supports AWS Bedrock and Anthropic's Claude 3.5 Sonnet.
External source
GitHub
smell-of-curry/gobds
GitHub Go`gobds` is Minecraft Bedrock dedicated server proxy system, written in go using gophertunnel, to protect, enhance, and enable BDS servers to expand there possibilities.
External source
GitHub
zer0-A1/Scalable-RAG-in-AWS-with-Fargate
GitHub PythonThis repository contains a full RAG application using Terraform as IaC, LangChain as framework, AWS Bedrock as LLM and Embedding Models, AWS OpenSearch as a vector database, and deployment on AWS OpenSearch endpoint.
External source
GitHub
aws-solutions-library-samples/guidance-for-piping-and-instrumentation-diagrams-digitization-on-aws
GitHub Python MIT No AttributionThis Guidance demonstrates how to transform static Piping and Instrumentation Diagrams (P&IDs) into machine-readable digital formats using AWS AI and machine learning services. The process combines Amazon Bedrock Data Automation for superior text extraction from technical drawings with custom Sag... Read more
External source
GitHub
BedrockLauncher/BedrockLauncher.github.io
GitHub TypeScriptNo description available from source.
External source
GitHub
aws-samples/bedrock-serverless-workshop
GitHub Vue MIT No AttributionNo description available from source.
External source
GitHub
aws-samples/sample-bedrock-mcp
GitHub Python MIT No AttributionNo description available from source.
External source
GitHub
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